Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Granite 3.3 8B Instruct
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Granite 3.3 8B Instruct
IBM
2025-04-16

Gemma 3n E2B Instructed
2025-06-26
2 months newer
Average performance across 2 common benchmarks

Gemma 3n E2B Instructed

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed

Granite 3.3 8B Instruct

Gemma 3n E2B Instructed

Granite 3.3 8B Instruct